Implementation of Time-course Gene Set Analysis (TcGSA), a method for
analyzing longitudinal gene-expression data at the gene set level. Method is
detailed in: Hejblum, Skinner & Thiebaut (2015) <doi:10.1371/journal.pcbi.1004310>.
| Version: |
0.12.10 |
| Depends: |
R (≥ 3.0.2), ggplot2 (≥ 2.0.0) |
| Imports: |
lme4 (≥ 1.0-4), reshape2, GSA, multtest, cluster, cowplot, graphics, grDevices, gtools, stringr, splines, stats, utils |
| Suggests: |
BiocManager, foreach, parallel, doParallel, dearseq, knitr, GEOquery, rmarkdown |
| Published: |
2022-02-28 |
| DOI: |
10.32614/CRAN.package.TcGSA |
| Author: |
Boris P Hejblum [aut, cre],
Damien Chimits [aut],
Anthony Devaux [aut] |
| Maintainer: |
Boris P Hejblum <boris.hejblum at u-bordeaux.fr> |
| BugReports: |
https://github.com/sistm/TcGSA/issues |
| License: |
GPL-2 | file LICENSE |
| URL: |
http://sistm.github.io/TcGSA/ |
| NeedsCompilation: |
no |
| Citation: |
TcGSA citation info |
| Materials: |
README NEWS |
| In views: |
Omics |
| CRAN checks: |
TcGSA results |